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About

Changhui Yang is a leading researcher in agricultural robotics, with a primary focus on automated citrus harvesting systems. His work addresses the critical challenges of robotic fruit picking in complex natural environments, particularly the mechanical interaction between robots and fruit stalks. Yang's most influential contribution is the development of an end-effector with a "bite mode" for harvesting citrus fruit in random stalk orientation environments (86 citations), which represents a significant advancement in robotic grasping for agriculture. He has also made foundational contributions to understanding fruit-stalk mechanics through discrete element modelling (79 citations) and studying the effects of fruit maturity on stalk cutting force. In the vision domain, Yang pioneered the use of convolutional neural networks for citrus detection and developed a method for segmenting and recognizing mature citrus from branches and leaves using regional features. His integrated approach—combining mechanical design, material modeling, and deep learning—has established him as a key figure in precision agriculture robotics, with his citation record reflecting the practical importance of his engineering solutions for automating fruit harvesting.